London

June 2–3, 2026

New York

September 15–16, 2026

Berlin

November 9–10, 2026

Making sense of logs, traces, and metrics

With more complex systems comes more complex data. Here’s how to extract meaning from chaotic observability dashboards.

Endre Sara, Anthony Busselier, Rich Anakor, Tiani Jones and Parveen Khan

Date & time

17:00

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A vast amount of telemetry data is generated to help understand complex modern system performance, usage, and behaviour. Yet 75% of organizations still lack full visibility across their infrastructure, apps, and services.

The problem isn’t a lack of data, but a context gap. Teams are overwhelmed with far more data than they can actually use and alert fatigue from multiple dashboards isn’t getting any better. Reliability suffers, and the loop is reinforced.

This panel discussion will reveal how to anchor observability around a core set of data points that help you close the context gap, and make system health legible to the whole team.

Key takeaways:

  • How to build more context around telemetry data, instead of more noise
  • Improving the whole team’s ability to extract meaning from dashboards
  • Restoring the balance between data and action

panelists:

Endre Sara

Co-Founder
Causely

Parveen Khan

Senior Quality Analyst Consultant
Thoughtworks
Tiani Jones

Tiani Jones

Founder
Proper Science

Moderator:

Anthony Busselier

Senior Software Engineer in Test
BBC